Integration Engineer – Agentic Systems & Interfaces

<h3><strong>About Viaduct</strong></h3> <p>At Viaduct, we use patented AI to discover hidden patterns in complex time series data – so manufacturers and operators of connected equipment can deliver transformative business results from their data, fast. On our platform we deliver solutions across the equipment lifecycle, from manufacturing productivity, manufacturing quality, service operations and fleet management.</p> <p><strong>Who You Are</strong> <br>You are a thoughtful engineer. You understand the complexities of distributed systems and how to triage and solve issues that arise with them. You are a "doer" who thrives on the challenge of delivering high-stakes implementations in complex enterprise environments. You believe that successful software deployment requires a bridge between robust data engineering and cutting-edge AI. You are comfortable working directly with customers to understand their technical landscapes and ensure that software solutions are integrated, deployed, and delivering value quickly.</p> <p><strong>About the Role</strong> <br>As an Integration Engineer at Viaduct, your work is critical to our success. You are responsible for the "last mile" of our technology—ensuring seamless data flow from customer systems into our platform and deploying our AI solutions within enterprise contexts. You will own the technical implementation process, making key decisions on data integration and building the connectors that power our intelligence engine. A major focus of this role is the practical deployment of LLM and Agentic systems, ensuring they are configured, tested, and iterated upon to solve real-world manufacturing and operations challenges.</p> <p><strong>Key Responsibilities</strong></p> <ul> <li><strong>Enterprise Deployment:</strong> Lead the hands-on technical implementation and deployment of Viaduct’s software solutions within large-scale enterprise environments.</li> <li><strong>Data Integration & Connectivity:</strong> Make critical data integration decisions and build robust connectors across a variety of data types and systems (SQL, NoSQL, APIs, etc.).</li> <li><strong>Pipeline Engineering:</strong> Create and support batch, incremental, and real-time data pipelines to ensure high-quality data ingestion from client systems.</li> <li><strong>AI Implementation:</strong> Set up and deploy LLM and agentic systems in practice. You will be responsible for prompt engineering, performance testing, and iterating on agent behavior to ensure reliability and accuracy.</li> <li><strong>Standardization:</strong> Establish and automate validation and cleaning processes to ensure data quality across various client integrations.</li> <li><strong>Custome